class_docstr: TotalText Text Detection Parser.
  
  The original annotation format of this dataset is stored in txt files,
  which is formed as the following format:
      x: [[x1 x2 x3 ... xn]], y: [[y1 y2 y3 ... yn]],
      ornt: [u'c'], transcriptions: [u'transcription']
  
  Args:
      data_root (str): Path to the dataset root.
      ignore (str): The text of the ignored instances. Default: '#'.
      nproc (int): Number of processes to load the data. Default: 1.
docstr: Convert single annotation.
docstr_tok: ["Convert","single","annotation","."]
code: def parse_file(self, img_path: str, ann_path: str) -> Dict:
      """Convert single annotation."""
      instances = list()
      for poly, text in self.loader(ann_path):
          instances.append(
              dict(poly=poly, text=text, ignore=text == self.ignore)
          )
  
      return img_path, instances
  
file_path: mmocr/mmocr/datasets/preparers/parsers/totaltext_parser.py
imports: import re
  from typing import Dict, Tuple
  import yaml
  from mmocr.registry import DATA_PARSERS
  from .base import BaseParser
label_desc: Use image node_id 2 for calling the TotaltextTextDetAnnParser obj's underlying member method code with example usage: obj.parse_file(img_path, ann_path) and returns: img_path,  instances